University of Illinois Urbana-Champaign

Modeling Employment and Automation in the United States

Ryu, Dennis

Content Files
ECE499-Fa2017-ryu.pdf

Permalink

https://hdl.handle.net/2142/99005

Description

Title
Modeling Employment and Automation in the United States
Author(s)
Ryu, Dennis
Contributor(s)
Varshney, Lav R.
Issue Date
2017-12
Keyword(s)
  • job distance
  • automation
Date of Ingest
2018-02-01T14:25:43Z
Abstract
When people change jobs, it is useful for both employers and employees to find best-fit jobs on the basis of the employees’ skillsets. We utilize the O*NET database to introduce the notion of the job distance, which allows us to measure the difference between jobs based on the skillsets required to successfully perform them. We then apply this measure to data from the Bureau of Labor Statistics (BLS) to model the job distribution in each metropolitan or rural area. Novel graph metrics are found along the way, but we ultimately address the impact of automation by combining a gravity and Markov model.
Type of Resource
other
Genre of Resource
Other
Permalink
http://hdl.handle.net/2142/99005

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